Triple

T21904176
Position Surface form Disambiguated ID Type / Status
Subject Siemens Viaggio Next Level E540890 entity
Predicate developer P73 FINISHED
Object Siemens Mobility NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Siemens Mobility | Statement: [Siemens Viaggio Next Level, developer, Siemens Mobility]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siemens Mobility
Context triple: [Siemens Viaggio Next Level, developer, Siemens Mobility]
  • A. Siemens Transportation Systems chosen
    Siemens Transportation Systems is a division of Siemens AG that designs and manufactures rail vehicles and related transportation infrastructure and technologies.
  • B. Siemens–Duewag
    Siemens–Duewag was a German rolling stock manufacturer known for producing light rail vehicles and trams used in many cities worldwide.
  • C. Stadler Rail
    Stadler Rail is a Swiss manufacturer of railway rolling stock known for producing regional and commuter trains, trams, and light rail vehicles for markets worldwide.
  • D. Alstom (formerly Bombardier Transportation)
    Alstom (formerly Bombardier Transportation) is a major global rail transport manufacturer known for producing trains, trams, and related railway systems and equipment.
  • E. MTR GmbH
    MTR GmbH is an international joint venture company that designs, develops, and supports turboshaft engines for military helicopters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d4c0248190909172decd7cbc64 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:29 p.m.